Phenotype calibration effectiveness of autonomous mobile ground control point

Collin McLeod; John A. Thomasson

doi:10.1117/12.3021160

10 June 2024 Phenotype calibration effectiveness of autonomous mobile ground control point

Collin McLeod, John A. Thomasson

Proceedings Volume PC13053, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IX; PC1305306 (2024) https://doi.org/10.1117/12.3021160
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Phenotype data collected by Unmanned Aerial Vehicles (UAVs) must be calibrated due to current limitations in sensor technology. Calibration can be achieved using ground control points (GCPs) and calibrated reflectance panels; however, these common methods have limitations. GCPs are time and labor intensive to set up in large agricultural settings while calibrated reflectance panels, which are only imaged once, are limited in their ability to calibrate large data sets because of possible changes in atmospheric conditions. These complications are solved by an autonomous mobile ground control point (AMGCP). The AMGCP gives a more efficient means to correct georeferencing, spectral, and thermal data across a wide data set. An improved AMGCP has been field tested to evaluate its effectiveness in calibrating UAV phenotype data under field conditions.

Conference Presentation

Citation Download Citation

Collin McLeod and John A. Thomasson "Phenotype calibration effectiveness of autonomous mobile ground control point", Proc. SPIE PC13053, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IX, PC1305306 (10 June 2024); https://doi.org/10.1117/12.3021160

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